Borrow Data

Securities lending data showing borrow fees, share availability, and hard-to-borrow indicators.

Borrow Data

Available to everyone, no account required.

Updated

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Overview

The Borrow Data page is a securities lending data dashboard for short sellers and risk managers. It displays borrow fees, share availability, and hard-to-borrow indicators across all tracked tickers.

Use it to identify stocks that are expensive or difficult to short, or to monitor fee changes over time. Four summary stat cards give you an instant read on the lending landscape: total tickers tracked, average borrow fee, hard-to-borrow count, and count of very expensive names (>10% fee). Click any row to see historical fee charts and availability trends on the detail page.

What you can do

Overview & Filtering

  • Stat cards: Total Tickers tracked, Average Borrow Fee, Hard to Borrow count (red), Very Expensive (>10% fee) count (orange)
  • Search: by company name or ticker
  • Fee Range filter: min/max fee %, plus quick presets — Moderate (1–5%), Very Expensive (>10%)
  • Hard to Borrow Only: checkbox to isolate the most constrained names
  • Sort by: Fee, Available Shares, Date, or Company — ascending or descending

Data & Export

  • Table columns: Company (linked), Ticker, Borrow Fee (colour-coded badge), Available Shares, Hard to Borrow status, Last Updated
  • Click any row: open the borrow data detail page with historical fee charts and availability trends
  • Export: download filtered results as CSV

Tips

  • ▸Use the "Very Expensive (>10%)" stat card as a daily screen for names with elevated shorting costs
  • ▸Combine "Hard to Borrow Only" with a low Available Shares sort to find the most constrained names
  • ▸Check the borrow detail page for historical fee trends — a spike in borrow fee often precedes or accompanies a short squeeze
  • ▸Cross-reference the Hard to Borrow list with the Red Flags page — if a company has both high borrow fees and red flags, the risk thesis may be crowded
  • ▸Export as CSV to merge borrow data with your own portfolio management tools

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